NCBItax2lin

Convert NCBI taxonomy dump (taxdump, ftp://ftp.ncbi.nlm.nih.gov/pub/taxonomy/) into lineages. An example for human is like

tax_id	superkingdom	phylum	class	order	family	genus	species	family1	forma	genus1	infraclass	infraorder	kingdom	no rank	no rank1	no rank10	no rank11	no rank12	no rank13	no rank14	no rank15	no rank16	no rank17	no rank18	no rank19	no rank2	no rank20	no rank21	no rank22	no rank3	no rank4	no rank5	no rank6	no rank7	no rank8	no rank9	parvorder	species group	species subgroup	species1	subclass	subfamily	subgenus	subkingdom	suborder	subphylum	subspecies	subtribe	superclass	superfamily	superorder	superorder1	superphylum	tribe	varietas
9606	Eukaryota	Chordata	Mammalia	Primates	Hominidae	Homo	Homo sapiens					Simiiformes	Metazoa	cellular organisms	Opisthokonta	Dipnotetrapodomorpha	Tetrapoda	Amniota	Theria	Eutheria	Boreoeutheria					Eumetazoa				Bilateria	Deuterostomia	Vertebrata	Gnathostomata	Teleostomi	Euteleostomi	Sarcopterygii	Catarrhini					Homininae			Haplorrhini	Craniata				Hominoidea	Euarchontoglires

Download lineages

All pre-converted lineages are hosted on ncbitax2lin-lineages, a GitLab repo, which allows pushing larger files without Git LFS and a bigger repo size limit.

Regenerate the lineages yourself

Regeneration is straightforward, but it may incur quite a bit of memory (~20 GB). I generated lineages.csv.gz on a machine with 32 GB memory. Pull request on refactoring to a lower memory usage is welcome. It's mainly about this line, where the pool.map takes places.

If you really need an updated version but without the hardware resources, you could also notify me on github, and I will update it for you.

Install

git clone git@github.com:zyxue/ncbitax2lin.git
cd ncbitax2lin/

Set up a virtual environment

Currently, it only works with python2.7, and needs pandas, so make sure you are in a proper virtual environment. If you have already these had one available, just use that one.

Otherwise, you can create a new one with miniconda/anaconda (recommended),

conda create -y -p venv/ --file env-conda.txt
# or effectively the same
# conda create -y -p venv python=2 pandas
source activate venv/

or with virtualenv + pip

virtualenv venv/
source venv/bin/activate
pip install -r env-pip.txt

Regenerate

Then run the following, this will download the latest taxdump from NCBI, and run the scripts to regenerate all latest lineages from it

make

FAQ

Q: I have a large number of sequences with their corresponding accession numbers from NCBI, how to get their lineages?

A: First, you need to map accession numbers (GI is deprecated) to tax IDs based on nucl_*accession2taxid.gz files from ftp://ftp.ncbi.nih.gov/pub/taxonomy/accession2taxid/. Secondly, you can trace a sequence's whole lineage based on its tax ID. The tax-id-to-lineage mapping is what NCBItax2lin generates for you, and it is available on ncbitax2lin-lineages.

Note on `taxdump.tar.gz.md5`

It appears that NCBI periodically regenerates taxdump.tar.gz and taxdump.tar.gz.md5 even when its content is still the same. I am not sure how their regeneration works, but taxdump.tar.gz.md5 will differ simply because of a different timestamp.

lianzhh/ncbitax2lin